representational similarity
This concept pertains to how similarly two models or algorithms represent data in their internal spaces. Evaluating representational similarity can provide insights into model behavior and generalization ability.
- Spectral Analysis of Representational Similarity with Limited Neurons
- Training the Untrainable: Introducing Inductive Bias via Representational Alignment
- Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models
- When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
- With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You